AWS Database Blog

Category: RDS for PostgreSQL

Improve app performance through pipelining queries to Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL

PostgreSQL is an open-source object-relational database system with over 30 years of active development that has earned it a strong reputation for reliability, feature robustness, and performance. AWS offers Amazon Relational Database Service (Amazon RDS) and Amazon Aurora as fully managed relational database services. Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL-Compatible Edition make it […]

Cross-account Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL migration with reduced downtime using AWS DMS

Migrating an Amazon Aurora PostgreSQL-Compatible Edition or Amazon Relational Database Service (Amazon RDS) for PostgreSQL database from one AWS account to another is a common use case in scenarios when you acquire, sell, or merge operations, or if you’re reorganizing your AWS accounts and organizational structure. In this post, we discuss the steps and best […]

Migrate PostgreSQL from Google Cloud Platform to Amazon RDS with minimal downtime

In this post, we walk you through a procedure to migrate the PostgreSQL database from Google Cloud Platform (GCP) Cloud SQL to Amazon Relational Database Service (Amazon RDS) for PostgreSQL. To accomplish this task, we use AWS Database Migration Service (AWS DMS), a data migration and replication service. Using AWS DMS you can do the […]

Encrypt Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL database with minimal downtime

Recently one of our customers, asked us to help them encrypt their unencrypted Amazon Relational Database Service (Amazon RDS) for PostgreSQL. In this post, we show a solution to create an encrypted database from their existing unencrypted database and cut over with the least disruption to applications. This solution uses database Snapshot and PostgreSQL logical […]

Build hypothetical indexes in Amazon RDS for PostgreSQL with HypoPG

Indexes in PostgreSQL are essential for improving the performance of database queries. They serve as data structures that organize and optimize the retrieval of information from database tables. By creating indexes on specific columns, PostgreSQL can locate and access relevant data more efficiently. Indexes work by creating a separate data structure that contains a sorted […]

Validate database objects after migrating from IBM Db2 z/OS to Amazon RDS for PostgreSQL or Amazon Aurora PostgreSQL

Customers are modernizing their mission-critical legacy on-premises IBM Db2 for z/OS databases to Amazon Relational Database Service (Amazon RDS) for PostgreSQL or Amazon Aurora PostgreSQL-Compatible Edition for its scalability, performance, agility, and availability. You can use the AWS Schema Conversion Tool (AWS SCT) to simplify the schema conversion from Db2 for z/OS to Amazon RDS […]

Build high-performance functions in Rust on Amazon RDS for PostgreSQL

Amazon Relational Database Service (Amazon RDS) for PostgreSQL now supports trusted PL/Rust, allowing developers to safely build high-performance database functions in the Rust programming language. PL/Rust is an open-source project that lets you write Rust code that runs directly inside a PostgreSQL database, and provides support for PostgreSQL features such as running queries, writing trigger […]

Migrate generated columns to PostgreSQL using AWS Database Migration Service

AWS launched Amazon Database Migration Accelerator (Amazon DMA) to accelerate your journey to AWS Databases and Analytics services and achieve cloud adoption benefits such as cost savings and performance improvements. In this post, we share Amazon DMA’s approach to migrate generated columns to PostgreSQL implementations, such as Amazon RDS for PostgreSQL or Amazon Aurora PostgreSQL-Compatible […]

Federated query support for Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL – Part 2

This post is a continuation of Federated query support for Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL – Part 1. To recap, in 2003, the SQL standard added a new specification called SQL/MED (SQL Management of External Data). In 2011, PostgreSQL 9.1 was released with read-only support of this standard, and PostgreSQL 9.3 added […]

Building AI-powered search in PostgreSQL using Amazon SageMaker and pgvector

Organizations across diverse sectors are exploring novel ways to enhance user experiences by harnessing the potential of Generative AI and large language models (LLMs). In the fashion industry generative AI is revolutionizing the creative process. By analyzing user preferences and data, AI algorithms can generate unique apparel patterns and designs, bringing a new level of […]